forked from D-Net/dnet-hadoop
creates the crossref dataset used for doiboost
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package eu.dnetlib.doiboost.crossref
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import eu.dnetlib.dhp.application.ArgumentApplicationParser
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import eu.dnetlib.doiboost.crossref.UnpackCrossrefDumpEntries.getClass
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import org.apache.hadoop.io.compress.GzipCodec
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import org.apache.spark.{SparkConf, SparkContext}
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import org.apache.spark.sql.{Encoder, Encoders, SaveMode, SparkSession}
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import org.json4s
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import org.json4s.DefaultFormats
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import org.json4s.jackson.JsonMethods.parse
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import org.slf4j.{Logger, LoggerFactory}
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import scala.io.Source
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object GenerateCrossrefDataset {
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val log: Logger = LoggerFactory.getLogger(GenerateCrossrefDataset.getClass)
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implicit val mrEncoder: Encoder[CrossrefDT] = Encoders.kryo[CrossrefDT]
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def crossrefElement(meta: String): CrossrefDT = {
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implicit lazy val formats: DefaultFormats.type = org.json4s.DefaultFormats
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lazy val json: json4s.JValue = parse(meta)
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val doi:String = (json \ "DOI").extract[String]
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val timestamp: Long = (json \ "indexed" \ "timestamp").extract[Long]
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new CrossrefDT(doi, meta, timestamp)
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}
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def main(args: Array[String]): Unit = {
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val conf = new SparkConf
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val parser = new ArgumentApplicationParser(Source.fromInputStream(getClass.getResourceAsStream("/eu/dnetlib/dhp/doiboost/crossref_dump_reader/generate_dataset_params.json")).mkString)
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parser.parseArgument(args)
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val master = parser.get("master")
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val sourcePath = parser.get("sourcePath")
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val targetPath = parser.get("targetPath")
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val spark: SparkSession = SparkSession.builder().config(conf)
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.appName(UnpackCrossrefDumpEntries.getClass.getSimpleName)
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.master(master)
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.getOrCreate()
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val sc: SparkContext = spark.sparkContext
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import spark.implicits._
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sc.textFile(sourcePath,6000)
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.map(meta => crossrefElement(meta))
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.toDS()
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.write.mode(SaveMode.Overwrite).save(targetPath)
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}
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}
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